review3
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@@ -558,7 +558,7 @@ We hope to further improve such situations in future work by enabling the transi
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To summarize, the KDE-based approach for estimation is able to resolve multimodalities.
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It does not provide a smooth estimated path, since it depends more on an accurate sensor model than a weighted-average approach, but is suitable as a good indicator about the real performance of a sensor fusion system.
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At the end, in the here shown examples we only searched for a global maxima, even though the KDE approach opens a wide range of other possibilities for finding a best estimate.
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At the end, \add{we only used the KDE approach to provide a global maxima, even though it} opens a wide range of other possibilities for finding a best estimate.
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\add{A detailed examination of the runtime performance of the used estimation methods in comparison to the state-of-the-art can be found in \cite{Bullmann-18}.}
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